Ayush Tanwar

Data Scientist

New Delhi, Delhi, India3 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Generative AI and Machine Learning.
Proven track record in fraud detection enhancements.
Strong background in analytical modeling and automation.

Stackforce AI infers this person is a Data Scientist specializing in Fintech and SaaS industries.

Contact

Skills

Core Skills

Generative AiMachine LearningNatural Language ProcessingData Analysis

Other Skills

ABAQUSAI AgentsAnalytical ModelingAnalytical SkillsAnomaly DetectionApplied MathematicsData ModelingDeep LearningFinancial AnalysisGPT3Gen AIGoogle Cloud Platform (GCP)Isolation ForestJavaScriptKMeans

About

I like building smart things that work. Currently a Data Scientist at American Express, working on GenAI, LLMs, and fraud analytics at scale. Always exploring creative ways to build new systems and automate stuff around :)

Experience

3 yrs 5 mos

Total Experience

1 yr 8 mos

Average Tenure

2 yrs 9 mos

Current Experience

American express

Sr. Data Scientist

Sep 2023 – Present · 2 yrs 9 mos · Gurugram, Haryana, India · Hybrid

LLM and Gen AI model to enhance Fraud Detection leveraging Call Records: Developed an embedding based XGBoost model to determine riskiness from call transcripts.
Twin Tower Transformer to improve Fraud Coverage on underperforming segments:Transformer Model to improve Fraud coverage on underperforming segments leveraging Specific Attention.
Ideated & Evaluated a Twin-Tower Transformer architecture to capture temporal and intra-transactional patterns.Improved the Recall Score at riskiest 20bps by 1.2% with an expected annual benefit of $6MM.Fraud Indicator
Improvement using Anomaly Detection:Worked on improving the Fraud Labels via anomaly detection techniques like KMeans and Isolation Forest.Tackled problems like Suspect Claim, Recurring Charges, Friendly Fraud, etc. to build a robust Fraud Indicator.
Improved the Gini Value of existing models by 1-2% leading to better generalization and learnings.

LLMGen AIXGBoostTransformer ModelAnomaly DetectionKMeans+3

Spry movement app

Data Science Intern

Jun 2022 – Aug 2022 · 2 mos

Worked on various areas of development focusing on GPT3 based NLP models and fine-tuning large-scale language models.
Successfully developed a web app that facilitates Automated AI content writing for Blogs and clinic descriptions.
The web app is consistently being used for blog writing and SEO and was highly appreciated

GPT3NLPWeb App DevelopmentNatural Language Processing

Lam research

Product Development Intern

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India

Developed an analytical model to calculate the stresses developed in deposited layers on semiconductor wafers.
Improved the Stoney's equation by performing simulations for various parameters in ABAQUS and achieved an accuracy of 90%.
Automatized the whole simulation process using Python and created a web app Stress Calculator to reduce the modeling time

Analytical ModelingPythonABAQUSData Analysis

Institute of actuaries of india

Student Member

Dec 2021 – Aug 2022 · 8 mos

Qualifed ACET and became a student member of the Institute of Actuaries of India (IAI, Ministry of Finance)

Drdo, ministry of defence, govt. of india

CAE/FEA Analyst Intern

May 2021 – Aug 2021 · 3 mos · Roorkee, India

Worked on a project of national importance with the Department of Science and Technology (DST), INDO-SRILANKAN Research Project
Developed various origami-based toroidal patterns and performed the deployment simulations using ABAQUS-CAE
Conducted detailed stress-strain studies using ABAQUS and MATLAB to find the optimal parameters for the satellite deployment

ABAQUSMATLAB